Baltimore, 21217, MD,
United States
Total Health Care Technographics
Total Health Care Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Total Health Care and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 200 Total Health Care employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Total Health Care has purchased the following applications: Sage Intacct for ERP Financial in 2017, eClinicalWorks healow CHECK-IN for Electronic Health Record in 2023, eClinicalWorks healow No-Show Prediction AI Model for Predictive Analytics in 2023 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Total Health Care is running and its propensity to invest more and deepen its relationship with Sage , eClinicalWorks , Microsoft or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Total Health Care revenues, which have grown to $42.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Total Health Care intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Total Health Care Tech Stack and Enterprise Applications
Total Health Care ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Sage | Legacy | Sage Intacct | ERP Financial | ERP | n/a | 2017 | 2017 |
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Total Health Care ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| eClinicalWorks | Legacy | eClinicalWorks healow CHECK-IN | Electronic Health Record | ERP Services and Operations | n/a | 2023 | 2023 |
In 2023, Total Health Care in Baltimore City, MD deployed eClinicalWorks healow CHECK-IN as part of its Electronic Health Record environment to support a 50-provider Federally Qualified Health Center network. The implementation targeted a multi-disciplinary community clinic footprint that delivers primary care, dental, behavioral health, podiatry, and pharmacy services to nearly 30,000 patients across Metropolitan Baltimore.
The deployment combined the healow no show prediction AI model with eClinicalMessenger for automated outreach, healow Open Access for publishing available appointment slots, and healow Payment Services alongside eClinicalWorks healow CHECK-IN for contactless pre-visit check in and copay collection. The healow no show prediction AI model identifies patients with a high probability of missing appointments and triggers outreach workflows that include voice messages, secure text messages, and email reminders.
Technically the solution is instrumented inside the Electronic Health Record platform to drive scheduling and patient access workflows, enabling publication of open, cancelled, and last-minute rescheduled appointment slots on the practice website via healow Open Access. Operational coverage spans scheduling teams, front desk check in and payment processing, and outreach coordinators responsible for patient reminders and rescheduling.
Governance and process changes focused on automating identification and prioritization of high risk patients, routing outreach tasks to eClinicalMessenger, and publishing released appointment capacity to reduce idle schedule time. Total Health Care reported a 34% decrease in the no show rate among high risk patients, an additional 309 appointments in 45 days captured from reduced no shows, and a reported 90% accuracy for the healow no show prediction AI model, outcomes that the organization linked to improved access to care and reduced missed appointments.
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Patient Management | ERP Services and Operations |
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2023 | 2023 |
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Total Health Care AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| eClinicalWorks | Legacy | eClinicalWorks healow No-Show Prediction AI Model | Predictive Analytics | AI-Powered Application | n/a | 2023 | 2023 |
In 2023, Total Health Care Baltimore City MD implemented the eClinicalWorks healow No-Show Prediction AI Model, a Predictive Analytics application to target outreach and reduce missed appointments within scheduling and patient access functions. The deployment was focused on the FQHC clinical operations and patient access teams in Baltimore and aligned predictive scoring directly with appointment workflows.
The implementation configured the healow No-Show Prediction AI Model to generate appointment level risk scores, flag high-risk patients, and drive automated outreach triggers and reminder sequencing integrated into operational scheduling. Configuration emphasized risk stratification, outreach prioritization rules, and near real time surfacing of predictions to patient access staff.
The solution operated alongside eClinicalWorks, with the healow model consuming scheduling and patient record inputs from eClinicalWorks and returning risk indicators into the scheduling workflow for prioritization by patient access teams. Operational coverage was at the FQHC sites in Baltimore City and was positioned inside clinical operations and patient access business functions.
Governance and workflow changes included new triage rules for high-risk flags, updated scheduling protocols for outreach and appointment recovery, and operational monitoring by patient access leadership. The FQHC reported a 34% decrease in the no-show rate for high-risk patients and recovery of 309 appointments within 45 days of deployment.
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Total Health Care Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Collaboration | Collaboration |
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2020 | 2020 |
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Online Meeting Scheduling | Collaboration |
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2023 | 2023 |
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Survey and Questionnaire | Collaboration |
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2022 | 2022 |
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Total Health Care CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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CRM | CRM |
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2019 | 2019 |
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Donor and Fundraising Management | CRM |
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2020 | 2020 |
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Total Health Care IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2012 | 2012 |
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Application Hosting and Computing Services | IaaS |
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2015 | 2015 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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Total Health Care CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2022 | 2022 |
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IT Decision Makers and Key Stakeholders at Total Health Care
Apps Being Evaluated by Total Health Care Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||